Reversible action design for combinatorial optimization with reinforcement learning

F Yao, R Cai, H Wang - arxiv preprint arxiv:2102.07210, 2021 - arxiv.org
Combinatorial optimization problem (COP) over graphs is a fundamental challenge in
optimization. Reinforcement learning (RL) has recently emerged as a new framework to …

[PDF][PDF] A comparative study on regression model and artificial neural network for the prediction of wall temperature in a building

S Aishwarya, M Balasubramanian - J. Eng. Res, 2022 - researchgate.net
This paper demonstrates the validation and prediction of the wall temperature of a building
exposed to a composite climate. Two artificial intelligence models, such as multiple linear …

Neutrosophic enhanced convolutional neural network for occupancy detection: structured model development and evaluation.

R Mittal, S Kumar, U Chugh - International Journal of …, 2024 - search.ebscohost.com
This study introduces an advanced convolutional neural network (CNN) model tailored for
building occupancy detection that accommodates the inherent uncertainties and …

State-of-the-art activity recognition and prediction techniques applicable to the home energy management system

HN Hokmabad, J Belikov, O Husev… - 2022 IEEE 7th …, 2022 - ieeexplore.ieee.org
Owing to the tendency to convert ordinary homes to smart ones, there are novel
opportunities for home energy management systems to exploit the binary and analog …

[PDF][PDF] Linking the physical and digital built environment

A Donkers - core.ac.uk
The indoor environment of our buildings hugely affects our daily quality of life. The air quality
and thermal, visual and acoustic comfort are known to influence occupants' satisfaction …